| Two-way power flow and information flow are important foundations for realizing the smart grid in the future.Wireless sensor network(WSN)has broad application prospects in the fields of smart grid power data acquisition,power operation monitoring,and power fault diagnosis,due to its low complexity,low power consumption,strong self-organization,and easy expansion.Communication reliability is a key technical indicator of WSN in smart grid.Increasing the transmit power of WSN nodes can increase communication reliability,but at the same time it will cause mutual influence between nodes and reduce the overall communication efficiency of the network.Aiming at this contradiction problem,this dissertation studies the optimization of WSN transmit power in smart grid based on the adaptive model predictive control method.The main work of this dissertation is as follows:(1)Based on the analysis of the stochastic characteristics of the WSN wireless communication signal-to-noise ratio of the smart grid,aiming at the contradiction between the transmit power control and the communication reliability requirement of the WSN,signal-to-noise ratio confidence interval control target is formulated based on the reliability requirements of the smart grid communication standard.(2)Based on the lognormal shadow path loss propagation model,the appropriate reliability evaluation index is selected to construct the state space model of the smart grid WSN communication system.Based on the model,the improved adaptive Kalman filter algorithm is studied to reduce the impact of signal-to-noise ratio data randomness on the control algorithm.(3)The adaptive model predictive control algorithm is studied for WSN in smart grid.By estimating the lower bound of the stochastic volatility confidence interval of real-time signal-to-noise ratio,the signal-to-noise ratio of the system is compensated.The optimal transmit power of the WSN node is optimized and the proposed algorithm is verified by experiments.The experimental results show that the proposed algorithm achieves the optimal control of WSN node transmit power in smart grid based on the communication reliability requirements. |